CVE-2026-20148

April 15, 2026, 5:17 p.m.

4.9
Medium

Description

A vulnerability in Cisco ISE and Cisco ISE-PIC could allow an authenticated, remote attacker to perform path traversal attacks on the underlying operating system and read arbitrary files. To exploit this vulnerability, the attacker must have valid administrative credentials. This vulnerability is due to improper validation of user-supplied input. An attacker could exploit this vulnerability by sending a crafted HTTP request to an affected system. A successful exploit could allow the attacker to access sensitive files on the affected system.

Product(s) Impacted

Vendor Product Versions
Cisco
  • Identity Services Engine
  • Ise Pic
  • *
  • *

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-22
Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')
The product uses external input to construct a pathname that is intended to identify a file or directory that is located underneath a restricted parent directory, but the product does not properly neutralize special elements within the pathname that can cause the pathname to resolve to a location that is outside of the restricted directory.

*CPE(s)

Affected systems and software identified for this CVE.

Type Vendor Product Version Update Edition Language Software Edition Target Software Target Hardware Other Information
a cisco identity_services_engine / / / / / / / /
a cisco ise_pic / / / / / / / /

CVSS Score

4.9 / 10

CVSS Data - 3.1

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Privileges Required: HIGH
  • Scope: UNCHANGED
  • Confidentiality Impact: HIGH
  • Integrity Impact: NONE
  • Availability Impact: NONE
  • CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:N/A:N

    View Vector String

Timeline

Published: April 15, 2026, 5:17 p.m.
Last Modified: April 15, 2026, 5:17 p.m.

Status : Received

CVE has been recently published to the CVE List and has been received by the NVD.

More info

*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.